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RBF Acoustic Tomography

version (181 KB) by Travis Wiens
Recreate temperature and flow fields from acoustic time-of-flight data.


Updated 17 Jul 2009

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Acoustic tomography involves sending a sonic signal across a measurement area and timing how long it takes to travel the distance. A number of transducers are situated around the measurement area to achieve this. Since the absolute sonic speed is affected by temperature and wind speed, so is the time of flight. It is possible to reconstruct the temperature and wind velocity from the collection of time-of-flight data.

This package gives an example of using radial basis function networks to allow for a linear solution to the inverse problem. The example data is from a Karman vortex street behind a cylinder.

See for more details.

Cite As

Travis Wiens (2020). RBF Acoustic Tomography (, MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

Salman Haider

The exact post explaining it is here:


Removed GPL per Mathworks' requirements.

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux